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- Title
基于GIS和地统计的伊犁州农田土壤养分空间变异特征分析.
- Authors
李娜; 陈署晃; 赖宁; 李永福; 耿庆龙
- Abstract
【Objective】 To study the spatial variability and distribution of soil nutrients, and provide theoretical basis for the fertilization zoning of agricultural areas in arid areas and the promotion of precision agriculture. 【Result】 (1). Both AP and SOM belonged to strong variation intensity, and the coefficient of variation was 0.82 and 0.79, respectively. The coefficient of variation of other soil fertility indicators was between 0.60 and 0.67, which were all of moderate intensity. (2). The content of TN and SOM in the soil of Yili Prefecture was generally higher, and the proportion of the above-mentioned samples was 66.66% and 61.07%, respectively. The second was AK and AP. The proportion of samples above the richer was 50.85% and 49.37%, respectively. The rations of missing and scarce sample points exceeded 65.72%. (3) TN, SOM, and AN exhibit strong spatial correlation, with block-to-base ratios of 0.107, 0.002, and 0.000,07, respectively; AP's block-to-base ratio is 0.403, showing moderate spatial autocorrelation in the region; The quick-acting potassium has a block-to-base ratio of 0.755 and exhibits a weak spatial autocorrelation in the region. (4) The soil nutrient content in this area is mostly plaque-like in spatial distribution. Among the five nutrient indicators, the spatial distribution of TN and AN content is similar, and the higher content is mainly distributed in the eastern part of Yili Prefecture; the spatial distribution of SOM and AP content is similar, and the higher content is mainly distributed in the southern part of Yili Prefecture; The spatial distribution of AK content is relatively balanced. 【Conclusion 】 The average contents of AK, SOM and AP in the study area were all at a high level and the average contents of TN and AN were at a low level. The spatial distribution of soil nutrient content generally showed a pattern of high in the north, low in the north and high in the east and west.
- Publication
Xinjiang Agricultural Sciences, 2019, Vol 56, Issue 11, p2196
- ISSN
1001-4330
- Publication type
Article
- DOI
10.6048/j.issn.1001-4330.2019.11.016